Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Skin cancer, a life-threatening disease, necessitates early detection and accurate
classification for successful treatment. Misdiagnoses can lead to significant consequences …

Problem Cancer is a deadly disease that requires better diagnostics. Early detection
improves skin cancer survival. Due to skin lesion dissimilarity, automated image …

Melanoma, despite its relatively low incidence compared to other types of skin cancer,
accounts for a significant proportion of skin cancer-related deaths. Early detection of …

Melanoma is the most lethal of all skin cancers. This necessitates the need for a machine
learning-driven skin cancer detection system to help medical professionals with early …

Skin cancer poses a serious risk to one's health and can only be effectively treated with early
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …

Precision and timeliness in breast cancer detection are paramount for improving patient
outcomes. Traditional diagnostic methods have predominantly relied on unimodal …

The advent of attention-based architectures in medical imaging has ushered in an era of
precision diagnostics, particularly in the detection and classification of brain tumors. This …

Fiber reinforced concrete (FRC) has improved strength and ductility, making it suitable for a
wider range of engineering structures. The development of a constitutive model is crucial for …

Melanoma is considered to be the deadliest variant of skin cancer causing around 75% of
total skin cancer deaths. To diagnose Melanoma, clinicians assess and compare multiple …